Genome-wide analysis of gene expression in placentas derived from patients with preeclampsia
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Tao Meng
PROVIDER: E-GEOD-30186 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:The purpose of this study was to perform a comprehensive analysis of gene expression profile in placentas from preeclamptic pregnancies vs normal placentas.
2011-06-24 | GSE30186 | GEO
Project description:The series is composed of thirty hybridizations for analysis of differentially expressed genes in normal placenta tissues from patients with normal labor and placenta tissues from patients with severe preeclampsia. Patients tissues samples were obtained from (Vasilis. Total RNA extraction was performed by using the MagNa Pure Compact RNA Isolation Kit (Roche Applied Science). Keywords: Gene expression study, Disease state Twenty-six out of 50 normal placentas were randomly selected to match with 17 preeclamptic placentas, accounting for parity. Microarrays were performed applying a direct comparison design.
2010-05-26 | E-GEOD-10588 | biostudies-arrayexpress
Project description:Preeclampsia is one of the leading causes of maternal death worldwide. While the root cause is still unknown, the underlying biology of the disorder is becoming more clear. We recently published a study showing large, significant differences in DNA methylation in 3rd trimester placental samples associated with early-onset preeclampsia (EOPET) compared to controls. In this study, to identify DNA methylation differences associated with preeclampsia that occur early in pregnancy and to further delineate common EOPET-associated differences, we utilized a genetic defect, trisomy 16 (T16), that is predisposing to preeclampsia. We ran T16 placental samples from the 1st trimester (n=5) and 3rd trimester (n=10) against gestational age matched controls on the Illumina Infinium HumanMethylation450 BeadChip. Third trimester samples were from pregnancies with T16 confined to the placenta (confined placental mosaicism 16;CPM16), and consisted of samples that were and were not associated with EOPET (n=5 each). We identified a large number of DNA methylation differences in CPM16 samples compared to controls using stringent criteria (n=2254;False Discovery Rate <0.01, ->0.15). Several of these differences (11%) overlapped differences observed in chromosomally normal EOPET using similarly stringent criteria (FDR<0.01;->0.125). Isolating EOPET-associated probes produced a similar - distribution amongst CPM16 samples, although samples associated with EOPET showed a tendency towards larger DNA methylation differences. We also identified 262 DNA methylation differences between 1st trimester T16 and 1st trimester controls. Of these, 77 overlapped differences seen in 3rd trimester CPM16. Investigating these 77 T16/CPM16 specific DNA methylation differences, we identified three probes near two genes (ARGHEF37 and JUNB) that were also present as EOPET-associated methylation differences. In summary, we identified significant overlapping DNA methylation profiles of placentas with T16 and chromosomally normal placentas associated with EOPET. Specific DNA methylation marks within these profiles may be of future clinical utility in early identification of pregnancies susceptible to EOPET. Bisulfite converted DNA from 5 1st trimester trisomy 16 placentas, 5 chromosomally normal 1st trimester placentas, 10 third trimester placentas from confined placental mosaicism placentas and 10 chromosomally normal 3rd trimester placentas
2014-01-15 | E-GEOD-49343 | biostudies-arrayexpress
Project description:Genome wide DNA methylation profiling of normal and preeclampsia placental samples. Illumina Infinium HumanMethylation450 BeadChip (450K array) was used to obtain DNA methylation profiles in placental samples. Samples included 16 samples from healthy uncomplicated pregnancies and 8 samples from pregnancies affected by preeclampsia.
2016-04-12 | GSE75196 | GEO
Project description:The placenta plays an important role as a regulator of fetal nutrition and growth throughout development and placental factors contribute to gestational abnormalities such as preeclampsia. This study describes the genome-wide gene expression profiles of a large (n=60) set of human placentas in order to uncover gene expression patterns associated with preeclampsia. In addition to confirming changes in expression of soluble factors associated with preeclampsia such as sFLT1 (soluble fms-like tyrosine kinase-1), sENG (soluble endoglin), and INHA (inhibin alpha), we also find changes in immune-associated signaling pathways, offering a potential upstream explanation for the shallow trophoblast invasion and inadequate uterine remodeling typically observed in pathogenesis of preeclampsia. Notably, we also find evidence of preeclampsia-associated placental upregulation of sialic acid acetylesterase (SIAE), a gene functionally associated with autoimmune diseases. 23 preeclamptic, and 37 control placentas included in this study were collected during the years of 2004-2008 and hybridized in two batches to microarrays. Samples were randomized across arrays to control for array and batch variability.
2010-12-10 | E-GEOD-25906 | biostudies-arrayexpress
Project description:Preeclampsia (PE) is a major contributor of maternal mortality with uncertain etiology. Recent studies suggested that epigenetic modifications, including DNA methylation, play a vital role in the development of PE. In this study, we have mapped genome-wide distribution of 5-methylcytosin (5-mC) and 5-hydroxymethylcytosine (5-hmC) using MeDIP and (h)MeDIP in the placentas from severely preeclamptic patients and normal controls. A total 194485 pooled 5-mC peaks and 138133 pooled 5-hmC peaks were identified, of which 714 5-mC peaks and 119 5-hmC peaks showed significant difference between patients and controls (>2-fold, p<0.05).To our knowledge, this is the first report of DHMRs (Differentially Hydroxy-Methylated Regions) in preeclamptic placenta. We not only confirmed the aberrant DNA methylated regions in the process of preeclampsia reported previously, but also identified unreported regions. A total of 4 selected DMRs (Differentially Methylated Regions) were also confirmed by MassARRAY EppiTYPER. Of these, PTPRN2, which had low level of 5-mC and high level of 5-hmC at gene body, was further verified to have lower methylation level at promoter regions in case group compared with controls. In conclusion, our study provided genome-wide distribution of 5-mC and 5-hmC in severe PE and normal controls, which have further clinical value for the identification of diagnostic and therapeutic markers for severe PE. Examination of 5-mC and 5-hmC pattern in 4 control cases' tissue and 4 severely Preeclamptic Placentas cases' tissue.
2014-12-13 | E-GEOD-63743 | biostudies-arrayexpress
Project description:We investigated the DNA methylation and gene expression of 20 chorionic villi samples from early onset preeclampsia placentas to 20 gestational age matched controls. From this we were able to see a widespread disregulation in DNA methylation across a subset of genes in the genome. This may help to elucidate the underlying biological problems that lead to early onset preeclampsia. We noted that there were DNA methylation changes in many genes of importance as well as in different genomic elements such as enhancers. RNA from 8 Early Onset Preeclampsia placentas and 8 gestational age matched controls
2013-06-21 | E-GEOD-44711 | biostudies-arrayexpress
Project description:Background: Long non-coding RNAs (lncRNAs) are an important class of pervasive genes involved in a variety of biological functions. They are aberrantly expressed in many types of diseases. We want to study the lncRNAs profiles in preeclampsia. Preeclampsia has been observed in patients with molar pregnancy where a fetus is absent demonstrating that the placenta is sufficient to cause the condition. So we analyze the lncRNAs profiles in preeclampsia placentas. In this study, we described the lncRNAs profiles in 6 preeclampsia placentas (T) and 5 matched normal pregnancy placentas (N) tissues by microarray. Methodology/Principal Findings: With abundant and varied probes accounting 33,045 LncRNAs in our microarray, the number of lncRNAs that expressed at a certain level could be detected is 28,443. From the data we found there were 738 lncRNAs that differentially expressed (M-bM-^IM-%1.5 fold-change) among preeclampsia placentas compared with matched controls. Up to 18,063 coding transcripts could be detected in placenta samples through 30,215 coding transcripts probes. Coding-non-coding gene co-expression networks (CNC network) were constructed based on the correlation analysis between the differential expressed lncRNAs and mRNAs. According to the GO-Pathway analysis of differential expressed lncRNAs/mRNAs, we choose three lncRNAs to analyze the relationship between lncRNAs and preeclampsia. LOC391533, LOC284100, CEACAMP8 were evaluated by qPCR in 40 of preeclampsia placentas and 40 of controls. The results showed three lncRNAs were aberrantly expressed in preeclampsia placentas compared with controls. Conclusions/Significance: Our study is the first one to determine genome-wide lncRNAs expression patterns in preeclampsia placenta by microarray. The results displayed that clusters of lncRNAs were aberrantly expressed in preeclampsia placenta compared with controls, which revealed that lncRNAs differentially expressed in preeclampsia placenta may exert a partial or key role in preeclampsia development. Misregulation of LOC391533, LOC284100, CEACAMP8 might be associated with preeclampsia. Taken together, this study may provide potential targets for future treatment of preeclampsia and novel insights into preeclampsia biology. LncRNAs/mRNAs profiles in 6 preeclampsia placentas and 5 matched normal pregnancy placentas tissues by microarray using Arraystar v2.0.
2013-09-12 | E-GEOD-50783 | biostudies-arrayexpress
Project description:Preeclampsia is one of the leading causes of maternal death worldwide. While the root cause is still unknown, the underlying biology of the disorder is becoming more clear. We recently published a study showing large, significant differences in DNA methylation in 3rd trimester placental samples associated with early-onset preeclampsia (EOPET) compared to controls. In this study, to identify DNA methylation differences associated with preeclampsia that occur early in pregnancy and to further delineate common EOPET-associated differences, we utilized a genetic defect, trisomy 16 (T16), that is predisposing to preeclampsia. We ran T16 placental samples from the 1st trimester (n=5) and 3rd trimester (n=10) against gestational age matched controls on the Illumina Infinium HumanMethylation450 BeadChip. Third trimester samples were from pregnancies with T16 confined to the placenta (confined placental mosaicism 16;CPM16), and consisted of samples that were and were not associated with EOPET (n=5 each). We identified a large number of DNA methylation differences in CPM16 samples compared to controls using stringent criteria (n=2254;False Discovery Rate <0.01, ->0.15). Several of these differences (11%) overlapped differences observed in chromosomally normal EOPET using similarly stringent criteria (FDR<0.01;->0.125). Isolating EOPET-associated probes produced a similar - distribution amongst CPM16 samples, although samples associated with EOPET showed a tendency towards larger DNA methylation differences. We also identified 262 DNA methylation differences between 1st trimester T16 and 1st trimester controls. Of these, 77 overlapped differences seen in 3rd trimester CPM16. Investigating these 77 T16/CPM16 specific DNA methylation differences, we identified three probes near two genes (ARGHEF37 and JUNB) that were also present as EOPET-associated methylation differences. In summary, we identified significant overlapping DNA methylation profiles of placentas with T16 and chromosomally normal placentas associated with EOPET. Specific DNA methylation marks within these profiles may be of future clinical utility in early identification of pregnancies susceptible to EOPET.
2014-01-15 | GSE49343 | GEO
Project description:Preeclampsia is a severe placenta-related pregnancy disorder that is generally divided into two subtypes named early-onset preeclampsia (onset <34 weeks of gestation), and lateonset preeclampsia (onset ≥34 weeks of gestation), with distinct pathophysiological origins. Both forms of preeclampsia have been associated with maternal systemic inflammation. However, alterations in the placental immune system have been less well characterized. Here, we studied immunological alterations in early- and late-onset preeclampsia placentas using a targeted expression profile approach. RNA was extracted from snap-frozen placenta samples (healthy n=13, early-onset preeclampsia n=13, and late-onset preeclampsia n=6). The expression of 730 immune-related genes from the Pan Cancer Immune Profiling Panel was measured, and the data were analyzed Q10 in the advanced analysis module of nSolver software (NanoString Technology). The results showed that early-onset preeclampsia placentas displayed reduced expression of complement, and toll-like receptor (TLR) associated genes, specifically TLR1 and TLR4. Mast cells and M2 macrophages were also decreased in early-onset preeclampsia compared to healthy pl acentas. The findings were confirmed by an immunohistochemistry approach using 20 healthy, 19 early-onset preeclampsia, and 10 late-onset preeclampsia placentas. We conclude that the placental innate immune system is altered in early-onset preeclampsia compared to uncomplicated pregnancies. The absence of these alterations in late-onset preeclampsia placentas indicates dissimilar immunological profiles. The study revealed distinct pathophysiological processes in earlyonset and late-onset preeclampsia placentas and imply that a tailored treatment to each subtype is desirable.
2021-12-13 | GSE190639 | GEO